MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
July | 97 | 26 | 11 | 16 | .268 | .333 | .639 | .973 | |
 |
Last 30 Days | 35 | 11 | 2 | 9 | .314 | .429 | .543 | .971 | |
 |
March | 15 | 6 | 0 | 2 | .400 | .438 | .533 | .971 | |
|
September | 35 | 11 | 2 | 9 | .314 | .429 | .543 | .971 | |
 |
September | 91 | 29 | 6 | 16 | .319 | .386 | .582 | .969 | |
 |
August | 109 | 31 | 11 | 22 | .284 | .307 | .661 | .968 | |
 |
June | 95 | 24 | 9 | 17 | .253 | .388 | .579 | .967 | |
 |
March | 21 | 6 | 2 | 3 | .286 | .348 | .619 | .967 | |
|
May | 38 | 14 | 1 | 9 | .368 | .415 | .553 | .967 | |
|
Last 15 Days | 40 | 16 | 1 | 9 | .400 | .442 | .525 | .967 | |
  |
Last 15 Days | 34 | 11 | 3 | 6 | .324 | .378 | .588 | .967 | |
|
April | 54 | 17 | 3 | 16 | .315 | .373 | .593 | .965 | |
 |
July | 21 | 7 | 0 | 1 | .333 | .440 | .524 | .964 | |
|
Last 7 Days | 10 | 3 | 1 | 2 | .300 | .364 | .600 | .964 | |
 |
Last 15 Days | 48 | 15 | 2 | 8 | .313 | .421 | .542 | .963 | |
|
Last 15 Days | 24 | 6 | 2 | 4 | .250 | .379 | .583 | .963 | |
 |
June | 60 | 20 | 4 | 12 | .333 | .412 | .550 | .962 | |
|
Last 30 Days | 81 | 29 | 4 | 19 | .358 | .391 | .568 | .959 | |
 |
March | 14 | 6 | 0 | 1 | .429 | .529 | .429 | .958 | |
|
Last 15 Days | 37 | 9 | 4 | 11 | .243 | .364 | .595 | .958 | |
|
May | 93 | 32 | 3 | 8 | .344 | .451 | .505 | .957 | |
 |
April | 54 | 17 | 3 | 9 | .315 | .345 | .611 | .956 | |
|
Last 15 Days | 46 | 14 | 3 | 7 | .304 | .347 | .609 | .956 | |
 |
Last 30 Days | 77 | 24 | 6 | 14 | .312 | .346 | .610 | .956 | |
 |
July | 42 | 11 | 4 | 8 | .262 | .360 | .595 | .955 | |
|
May | 97 | 33 | 4 | 12 | .340 | .418 | .536 | .954 | |
 |
August | 45 | 16 | 2 | 9 | .356 | .420 | .533 | .953 | |
|
May | 54 | 18 | 3 | 6 | .333 | .379 | .574 | .953 | |
 |
September | 45 | 11 | 5 | 14 | .244 | .352 | .600 | .952 | |
|
July | 98 | 26 | 8 | 18 | .265 | .371 | .582 | .952 | |
|
July | 62 | 18 | 5 | 11 | .290 | .371 | .581 | .952 | |
|
Last 30 Days | 45 | 11 | 5 | 14 | .244 | .352 | .600 | .952 | |
|
March | 12 | 2 | 2 | 4 | .167 | .286 | .667 | .952 | |
|
July | 82 | 24 | 7 | 13 | .293 | .330 | .622 | .951 | |
 |
June | 66 | 22 | 3 | 8 | .333 | .421 | .530 | .951 | |
|
June | 29 | 8 | 2 | 4 | .276 | .364 | .586 | .950 | |
|
July | 30 | 9 | 1 | 4 | .300 | .417 | .533 | .950 | |
|
May | 54 | 15 | 5 | 14 | .278 | .339 | .611 | .950 | |
|
Last 15 Days | 20 | 7 | 0 | 1 | .350 | .500 | .450 | .950 | |
|
April | 80 | 24 | 5 | 10 | .300 | .424 | .525 | .949 | |
|
Last 7 Days | 17 | 6 | 0 | 4 | .353 | .476 | .471 | .947 | |
|
Last 30 Days | 91 | 25 | 7 | 16 | .275 | .320 | .626 | .946 | |
|
March | 14 | 4 | 1 | 1 | .286 | .375 | .571 | .946 | |
|
September | 91 | 25 | 7 | 16 | .275 | .320 | .626 | .946 | |
|
August | 97 | 32 | 4 | 17 | .330 | .398 | .546 | .945 | |
|
June | 77 | 24 | 4 | 16 | .312 | .400 | .545 | .945 | |
|
August | 94 | 27 | 5 | 14 | .287 | .424 | .521 | .945 | |
|
Last 7 Days | 24 | 8 | 2 | 7 | .333 | .320 | .625 | .945 | |
|
Last 30 Days | 79 | 28 | 2 | 7 | .354 | .414 | .532 | .945 | |
|
September | 79 | 28 | 2 | 7 | .354 | .414 | .532 | .945 |
Understanding Monthly Splits
Monthly splits track a hitter's performance across the season. April through October each bring different conditions — weather, fatigue, roster composition, and pitcher workload all shift as the season progresses. Identifying hot and cold streaks is essential for in-season DFS and betting.
Early Season (March-April)
Cold weather suppresses offense league-wide. Pitchers are often fresher and throwing harder. Small sample sizes make early-season splits volatile — a 10-game hot streak in April can produce a misleading .400 AVG. Weight these splits cautiously until June.
Peak Season (May-August)
Warm weather boosts offense, and sample sizes become meaningful. By July, monthly splits reveal real trends — a hitter who consistently rakes in summer months is a reliable warm-weather producer. August fatigue can affect some players, especially catchers and older veterans.
Stretch Run (September-October)
September roster expansions change matchup dynamics. October splits only apply to playoff teams. For DFS and betting, September splits are useful for identifying hitters who finish strong under pressure — these "second-half" hitters are often undervalued by the market.
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Data Source & Methodology
Batting splits sourced from MLB Stats API. Stats reflect current season data and update daily as games are played.
Frequently Asked Questions
- Are monthly batting splits predictive?
- Monthly splits are more descriptive than predictive for individual months. However, consistent patterns across multiple seasons (e.g., a hitter who always rakes in July-August) can signal real tendencies. Use monthly splits to identify hot streaks and cold spells within the current season rather than predicting future months.
- Why do hitters perform differently by month?
- Weather is the biggest factor — cold April air suppresses fly balls, while summer heat helps the ball carry. Pitcher fatigue accumulates over the season, often boosting hitter stats in August-September. Some hitters also have personal patterns tied to conditioning, injury history, or mechanical adjustments.
- How should I use monthly splits for DFS?
- Use current-month splits to identify who is hot right now. A hitter slashing .350/.400/.600 in the current month is likely seeing the ball well and making hard contact. Combine monthly form with matchup data for the strongest DFS plays. Don't chase month-old hot streaks that have already cooled.